Michel E. Vandenberghe
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
- Monoclonal and Polyclonal Antibodies Research 2
- Advanced Neuroimaging Techniques and Applications 2
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- Single-cell and spatial transcriptomics 2
- Co-authors
- Marietta Scott (5 shared papers)Craig Barker (7 shared papers)Denis Balcerzak (1 shared paper)Magnus Söderberg (1 shared paper)Ian O. Ellis (1 shared paper)Anna Sapino (1 shared paper)Emad A. Rakha (1 shared paper)Mohammed A. Aleskandarany (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Scientific Reports (2 papers)Diagnostic Pathology (1 paper)PLoS ONE (1 paper)npj Precision Oncology (1 paper)
- Partner nations
- United KingdomFranceSingapore
In The Last Decade
Michel E. Vandenberghe
18 papers receiving 405 citations
Peers
Comparison fields: 5 of 65
- Health Informatics 22
- Biophysics 67
- Radiology, Nuclear Medicine and Imaging 138
- Oncology 103
- Artificial Intelligence 129
Countries citing papers authored by Michel E. Vandenberghe
This map shows the geographic impact of Michel E. Vandenberghe's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michel E. Vandenberghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel E. Vandenberghe more than expected).
Fields of papers citing papers by Michel E. Vandenberghe
This network shows the impact of papers produced by Michel E. Vandenberghe. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michel E. Vandenberghe. The network helps show where Michel E. Vandenberghe may publish in the future.
Co-authors
The 25 scholars most cited alongside Michel E. Vandenberghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2018 | 82 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 30 | |
| 5 | 2016 | 30 | |
| 6 | 2016 | 14 | |
| 7 | 2017 | 9 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 1986 | 6 | |
| 12 | 2025 | 6 | |
| 13 | 2015 | 6 | |
| 14 | 2016 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2003 | 0 |
About Michel E. Vandenberghe
Michel E. Vandenberghe is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Artificial Intelligence, Biophysics and Oncology, having authored 19 papers that have together received 415 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), AI in cancer detection (5 papers), HER2/EGFR in Cancer Research (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Image Segmentation Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Health Informatics (22 citations), Biophysics (67 citations), Radiology, Nuclear Medicine and Imaging (138 citations), Oncology (103 citations) and Artificial Intelligence (129 citations). Michel E. Vandenberghe has collaborated with scholars based in United Kingdom, France and Singapore. Frequent co-authors include Marietta Scott, Craig Barker, Denis Balcerzak, Magnus Söderberg, Ian O. Ellis, Anna Sapino, Emad A. Rakha, Mohammed A. Aleskandarany, Caterina Marchiò and Anne-Marie Boothman. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Diagnostic Pathology, PLoS ONE and npj Precision Oncology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.